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2014 International Conference on Computer,Network Security and Communication Engineering(CNSCE 2014)

作者： Kai LEI Da-zhou QIN Kun ZHANG Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) School of Electronics and Computer Engineering Peking University

With the rise of social networking in the web2.0 era, the Internet gradually evolves to be community-based [1]. The process of obtaining information via the Internet reflects certain social characteristics. In order to adapt recommendation technology to such changes, a trust-based recommendation algorithm is approached in this paper. The research is conducted in a practical application environment, a P2 P file-sharing system named Maze [2]. The algorithm is designed as follows: 1) digging download logs and friendship logs, 2) establishing trust-net social model. The empirical results show that the algorithm has improved recommendation quality significantly compared with the original content-based recommendation algorithm used in Maze.

关键词： Information filtering Personalization User behavior Trust mechanism Recommendation system

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DRWS: A model for learning distributed representations for words and sentences

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8862卷 196-207页

作者： Yan, Chunwei Zhang, Fan Huang, Lian’en The Shenzhen Key Lab for Cloud Computing Technology and Application Peking University Shenzhen Graduate School ShenzhenGuangdong China

Vector-space distributed representations of words can capture syntactic and semantic regularities in language and help learning algorithms to achieve better performance in natural language processing tasks by grouping similar words. With progress of machine learning techniques in recent years, much attention has been paid on this field. However, many NLP tasks such as text summary and sentence matching treat sentences as atomic units. In this paper, we introduce a new model called DRWS which can learn distributed representations for words and variable-length sentences. Feature vectors for words and sentences are learned based on their probability of co-occurrence between words and sentences using a neural network. To evaluate feature vectors learned by our model, we applied our model on the tasks of detecting word similarity and text summarization. Extensive experiments demonstrate the effectiveness of our proposed model in learning vector representations for words and sentences. © Springer International Publishing Switzerland 2014.

关键词： Vectors

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Exploring the availability and effectiveness of named data networking in handling consumer mobility

Exploring the availability and effectiveness of named data n...

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2014 International Conference on Industrial Electronics and Engineering (ICIEE 2014)

作者： Kai Lei Fanyun Zou Shenzhen Key Laboratory for Cloud Computing Technology and Applications(SPCCTA) School of Electronics and Computer Engineering Peking University

Due to increasing demands from mobile users for continuous and high-quality Internet access, especially in rapidly mobile environment such as on fast cars or trains, it becomes more important and urgent to design and reform mobile network protocols to satisfy those needs. Current solutions for mobile networks under TCP/IP architecture, like mobile IP, produce enormous overhead and high forwarding delay. A new network architecture called Named Data Networking(NDN) is believed to be more suitable to deal with mobile network, due to its nature of consumer-driven and its own characteristics such as cache, forwarding strategy and security. Motivated by that, in this paper, we designed Consumer Mobility model in NDN(CMNDN) and implemented it in ndn SIM. CMNDN achieved good performance in quick-response and high-speed environment. The experimental results show that NDN is available and effective in handling consumer mobile network.

关键词： consumer mobility TCP/IP named data networking CMNDN ndn SIM

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Editorial

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Science China(Physics,Mechanics & Astronomy) 2014年第8期57卷 1413-1413页

作者： ZHANG Bo WU JunTing WANG BinQiang LI Hui National Digital Switching System Engineering Technological R&D Center Shenzhen Key Lab of Cloud Computing Technology and Application

The past decade has witnessed the birth of the golden age of precision cosmology. In particular, cosmic microwave back- ground （CMB） measurements have provided a powerful observational window to probe the earliest epochs of our Universe. Recently （March, 2014）, the Background Imaging of Cosmic Extragalactic Polarization （BICEP2） telescope at the South Pole announced the first detection of primordial B-mode polarization of the CMB that, if confirmed,

关键词：编辑宇宙微波背景宇宙学观察窗口河外星系 CMB 望远镜影像

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Hot topic analysis and content mining in social media

Hot topic analysis and content mining in social media

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IEEE International Conference on Performance, computing and Communications (IPCCC)

作者： Qian Yu WeiTao Weng Kai Zhang Kai Lei Kuai Xu Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) Peking University Shenzhen P.R. China School of Mathematical and Natural Sciences Arizona State University

ISBN: (纸本)9781479975761

Sina Weibo has become an increasingly critical social media in China for sharing latest news, marketing new products, and discussing controversial issues. The rising importance of Sina Weibo on the society makes it very important to understand “what”, “when”, “who” on hot topics that are being continuously tweeted and searched by millions of active users. In this paper, we develop a systematic approach to characterize temporal distribution of hot topics searched by Sina Weibo users over a four-month time-span and to uncover correlated hot topics that are not only tweeted by the same users, but also appear in the similar set of tweet messages. We analyze real-time Sina Weibo tweet data streams and study volume correlations and temporal gaps between user searches and tweeting activities on hot topics. In addition, we examine the correlations between hot topic searches on social media and on search engines to understand hot topics and user behaviors across different platforms. Given the challenges of analyzing massive amount of tweet data, we explore Hadoop MapReduce framework to effectively process millions of tweets from the collected data-sets, and quantify the performance benefits of MapReduce on analyzing tweet streams. To the best of our knowledge, this paper is the first effort to characterize temporal search patterns of hot topics on Sina Weibo and to study their correlations with tweeting data streams as well as search engine statistics.

关键词： Media Search engines Correlation Web search Engines TV Real-time systems

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Elastic and Efficient Virtual Network Provisioning for cloud-Based Multi-tier applications

Elastic and Efficient Virtual Network Provisioning for Cloud...

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International Conference on Parallel Processing (ICPP)

作者： Meng Shen Ke Xu Fan Li Kun Yang Liehuang Zhu Lei Guan Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing Institute of Technology P. R. China Department of Computer Science Tsinghua University P. R. China School of Computer Science & Electronic Engineering University of Essex UK The ISN National Key Lab XiDian University P. R. China School of Management & Economics Beijing Institute of Technology P. R. China

ISBN: (纸本)9781467375887

The multi-tier architecture is prevalently adopted by cloud applications, such as the three-tier web application. It is highly desirable for both tenants and providers to provide virtual networks in an efficient and elastic way, where tenant applications can automatically scale in or out with varying workloads and providers can accommodate as many requests as possible in the underlying network. However, due to potential conflicts between efficiency and elasticity, it is challenging to achieve these two goals simultaneously in abstracting tenant requirements and designing corresponding provisioning algorithms. In this paper, we propose an efficient and elastic virtual network provisioning solution called Easy Alloc, which is comprised of an elasticity-aware abstraction model and a virtual network provisioning algorithm. To accurately capture the tenant requirement and maintain the provisioning simplicity for providers, the elasticity-aware model enables two types of decoupling, i.e., Always-on VMs for normal load and on-demand VMs for dynamic scaling, and the bandwidth requirement of each VM for intra- and inter-tier communications. Then we formulate the virtual network provisioning as an overhead minimization problem, where the objective simultaneously considers the bandwidth and elasticity overhead. Due to the NP-completeness of this problem, we leverage two heuristics, slot reservation and tier iteration, to obtain an efficient algorithm. Extensive simulation results show that compared with a typical elasticity-agnostic method under a heavy load, Easy Alloc enables a 9% increase of request acceptance rate and a 16.8% improvement of the successful extension rate. To the best of our knowledge, this is the first work targeting at the elastic virtual network provisioning.

关键词： Bandwidth Elasticity cloud computing Algorithm design and analysis Load modeling Resource management

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Performance Comparison and Evaluation of Web Development Technologies in PHP, Python, and ***

Performance Comparison and Evaluation of Web Development Tec...

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IEEE International Conference on Computational Science and Engineering, CSE

作者： Kai Lei Yining Ma Zhi Tan Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) Peking University SHENZHEN P.R. CHINA GuangDong Poya Information & Technology Co. LTD GUANGZHOU P.R. CHINA

ISBN: (纸本)9781479979820

Large scale, high concurrency, and vast amount of data are important trends for the new generation of website. *** becomes popular and successful to build data-intensive web applications. To study and compare the performance of ***, Python-Web and PHP, we used benchmark tests and scenario tests. The experimental results yield some valuable performance data, showing that PHP and Python-Web handle much less requests than that of *** in a certain time. In conclusion, our results clearly demonstrate that *** is quite lightweight and efficient, which is an idea fit for I/O intensive websites among the three, while PHP is only suitable for small and middle scale applications, and Python-Web is developer friendly and good for large web architectures. To the best of our knowledge, this is the first paper to evaluate these Web programming technologies with both objective systematic tests (benchmark) and realistic user behavior tests (scenario), especially taking *** as the main topic to discuss.

关键词： Benchmark testing Web servers Concurrent computing Java Educational institutions

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A Practical Approach for Automatically Constructing Concept Map in E-learning Environments

A Practical Approach for Automatically Constructing Concept ...

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2014 IEEE International Conference on Progress in Informatics and computing

作者： Na Yi Hui Li Shenzhen Eng. Lab. of Converged Networks Technology Shenzhen Key Lab. of Cloud Computing Tech. and App Peking University Shenzhen Graduate School

With the prevalence of web-based learning, the application of concept mapping, as a powerful diagnostic and instructional tool, has been widely exploited in both education and computer science. In recent years, several methods have been presented toautomatically construct concept map that achieved encouraging results, while ignoring some critical issues when applied in actual E-learning system. In this paper,we propose a practical approach for constructing concept map,which is adapted tothe dynamic character of a real ***, we apply fuzzy set theory and fuzzy reasoning basis on fuzzy rules for similarity degree between twoconcepts, tofind direct prerequisite relationship among concepts. It provides a useful way toimprove accuracy and reduce complexity of the concept map.

关键词： concept map E-learning fuzzy set education

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A Secure Synchronized Reading System over Time-Critical Online Contests

A Secure Synchronized Reading System over Time-Critical Onli...

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IEEE International Conference on Communications

作者： Wei Wang Peng Xu Hui Li Laurence Tianruo Yang Key Lab of Cloud Computing Technology Peking University Shenzhen China Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China Embedded and Pervasive Computing Lab Huazhong University of Science and Technology Wuhan China

The time-critical online contest environment calls for an elegant and precise management system to start a contest online. The management system should simultaneously follow three rules of security that are confidentiality, anonymity and fairness. We present in this paper a novel system named Secure Synchronized Reading (SSR) system as well as its corresponding security model according to the three rules. SSR can evoke a synchronized start for all competitors in a contest at the intended time by employing a Randomness-reused Identity-Based Encryption (RIBE) scheme. It can avoid huge differences among delivery delays of heterogeneous competitors and any false start by an adverse competitor. Consequently when an online contest begins, the SSR system performs quasi real-time with ignorable communication delays in the security model. As a complement, the analysis on the provable security of SSR is given finally, as well as a further analysis on the achievement of synchronization.

关键词： Synchronization Encryption Delays Real-time systems Identity-based encryption

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Exploring the Benefits of Introducing Network Coding into Named Data Networking

Exploring the Benefits of Introducing Network Coding into Na...

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IEEE International Conference on Computational Science and Engineering, CSE

作者： Kai Lei Tao Chen Chen Peng Zhi Tan Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) School of Electronics and Computer Engineering (SECE) Peking University Shenzhen P.R. China GuangDong Poya Information & Technology Co. LTD Guangzhou P.R. China

ISBN: (纸本)9781479979820

In recent years, the focus to optimize network transmission efficiency has evolved to adopt methods that let those intermediate data transferring nodes get involved with routing, forwarding and caching. In other words, the new network architecture designs become in favor of hop-to-hop model, instead of traditional TCP-like end-to-end model. Named data networking is a promising future internet data oriented architecture which uses names instead of addresses and exchanges or forwards interest/data pair packets at each node along the path to route data for delivery. And meanwhile Network coding (NC) is a content oriented and effective method to reduce redundancy, increase network throughput and improve robustness. Nonetheless, due to NDN's current preliminary research, less research has combined these two technologies together. This paper presents some new thoughts to study on the benefits brought by integrating network coding to NDN, which can effectively improve network utilization, strengthen caching privacy, and also promote development of the NDN architecture itself.

关键词： Network coding Security Peer-to-peer computing Communication networks Encoding Bandwidth Internet

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